Now showing items 1-10 of 3207
Prediction in Multilevel Logistic Regression
(TAYLOR & FRANCIS INC, 2010)
The purpose of this article is to present a new method to predict the response variable of an observation in a new cluster for a multilevel logistic regression. The central idea is based on the empirical best estimator for ...
Inflection and stability points of diphasic logistic analysis of growth
(Univ Sao Paolo, 2015-05-01)
Growth functions with inflection points following a diphasic model, can be adjusted by two approaches using segmented regression or the sum of two functions. In both cases, there are two functions, one for each phase, with ...
Global stability in a regulated logistic growth model
(American Institute of Mathematical Sciences, 2005)
Solving the Levins' paradox in the logistic model to the population growth
We introduce a new method to improve Markov maps by means of a Bayesian approach. The method starts from an initial map model, wherefrom a likelihood function is defined which is regulated by a temperature-like parameter. ...
The Supply Chain Of Brazilian Maize And Soybeans: The Effects Of Segregation On Logistics And Competitiveness
(Wageningen Academic PublishersWageningen, 2017)
Modeling grouped survival data with time-dependent covariates
(Taylor & Francis Inc, 2006-10-01)
In this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five ...
On the logistic modeling and forecasting of evolutionary processes: Application to human population dynamics
(Elsevier Science IncNew YorkEUA, 2010)
Time-delayed coupled logistic capacity model in population dynamics
(American Physical Society, 2014-08)
This study proposes a delay-coupled system based on the logistic equation that models the interaction of a population with its varying environment. The integro-diferential equations of the model are presented in terms of ...
On the impact of disproportional samples in credit scoring models: An application to a Brazilian bank data
(PERGAMON-ELSEVIER SCIENCE LTDOXFORD, 2012)
Statistical methods have been widely employed to assess the capabilities of credit scoring classification models in order to reduce the risk of wrong decisions when granting credit facilities to clients. The predictive ...